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MAlazmii/README.md
M Alazmi — Computational Studio. From mathematical ideas to computational experiments.

Hi, I'm M Alazmi.

I explore machine learning, computer vision, and simulation through code. I'm interested in the connection between mathematical ideas and systems we can see in action: recognizing patterns, navigating obstacles, and modelling how signals travel.

This is my collection of coursework, experiments, and prototypes—with the methods, outputs, and reproduction notes alongside the code.

Explore the projects ↓   ·   Browse all repositories

Python NumPy TensorFlow OpenCV Java C Jupyter Git

Selected projects

01 / COMPUTER VISION

From pixels to correspondences

Custom image filters, ORB keypoints, and SIFT/ORB matching: exploring how local image structure becomes a set of correspondences.

Python · OpenCV · NumPy

Notebooks & visual results →

Saved feature-matching output connecting corresponding points between photographs Original saved notebook output

02 / ROBOTICS

Finding a way through

A Pioneer 3-DX connects sonar readings to movement through goal seeking and wall following, built on a laboratory teaching scaffold.

Java · Webots · Reactive control

Controller & setup →

Pioneer robot and obstacles in the project's Webots arena Original project screenshot

03 / MACHINE LEARNING

Discovering structure in data

NumPy implementations of k-means, k-means++ initialization, and bisecting k-means, with silhouette evaluation and synthetic-data experiments.

Python · NumPy · Unsupervised learning

Algorithms & experiments →

K-means assignments and learned centroids on deterministic synthetic two-dimensional data Synthetic demonstration using the repository's k-means implementation

Also in the lab

Image classification with a CNN — a TensorFlow/Keras study in grayscale image recognition, with training curves and saved evaluation outputs.

See the recorded learning curves

Original saved CNN training curves

Historical notebook output, not a new training run. Read the experiment's scope and limitations.

  • Brain signal simulation — a C serial baseline and experimental MPI work for signal propagation through neuron-and-nerve graphs.
  • Sales prediction prototype — a Flask interface connecting model inference to CSV-backed inventory charts.
  • Geometric GUI — a small C# application for drawing lines and finding their intersections.

Apps and algorithms

  • Campus and mural map — a Swift coursework app exploring maps, location, and saved favourites.
  • Wheel of Fortune — a UIKit word game with phrase categories and scoring.
  • Data cleaning — a JavaScript exercise in validating and normalizing CSV records.
  • Square grouping — dynamic programming for partitioning a sequence into consecutive groups.

Programming foundations

Coursework and smaller exercises are grouped by language, with original source credits and setup notes in each collection.

Java · C · Haskell · Web fundamentals · Swift examples

Perception. Behavior. Computation.
Different projects, connected by curiosity about how systems work.

Artwork & image credits · Animation respects reduced-motion preferences

Pinned Loading

  1. 2D-Convolution-SIFT-FeatureMatching 2D-Convolution-SIFT-FeatureMatching Public

    Computer-vision notebooks exploring custom image filters, ORB keypoints, and SIFT/ORB feature matching with saved visual comparisons.

    Jupyter Notebook

  2. Clustering-Algorithms Clustering-Algorithms Public

    NumPy implementations of k-means, k-means++, and bisecting k-means, with silhouette evaluation and synthetic-data experiments.

    Python

  3. brain_pdp brain_pdp Public

    C neuron-and-nerve signal simulation with a serial baseline and an experimental MPI implementation.

    C

  4. ImageClassificationWithCNN_ ImageClassificationWithCNN_ Public

    A TensorFlow/Keras CNN study for ten-class grayscale image classification, with IDX data loading, training curves, and saved evaluation results.

    Jupyter Notebook

  5. roboticSimulationDevelopedIn-Webots roboticSimulationDevelopedIn-Webots Public

    Java navigation for a Pioneer 3-DX in Webots, combining sonar sensing, goal seeking, and wall following.

    Java 1

  6. Walmart-Sales-prediction-project Walmart-Sales-prediction-project Public

    Flask sales-prediction prototype with a browser interface and CSV-backed inventory charts.

    Python